Lead Data Analyst

Role : Lead Data Analyst

Experience : 5 To 10 Years

Location : Hyderabad ( Hybrid )

Key Responsibilities :

1. Hands-On Data Analysis & BI Development (Individual Contributor) :

○ Design and develop dashboards, reports, and data models using BI tools (e.g., Metabase, Power BI, Tableau, Looker).

○ Write complex SQL queries to extract, clean, and analyze data from multiple sources.

○ Conduct in-depth analyses of product usage, user behavior, and model performance metrics, turning data into clear, actionable insights.

2. Team Mentoring :

○ Mentor and develop a small team of data analysts/BI developers, providing guidance on best practices and career growth.

○ Foster a collaborative team culture that values learning, innovation, and continuous improvement.

3. Analytics Strategy & Execution

○ Partner with Product, Engineering, Finance, and other teams to identify key analytics use cases, define success metrics, and track performance.

○ Develop and maintain a roadmap for analytics projects, balancing short-term requests with long-term strategic initiatives.

○ Champion a data-driven culture across the company, promoting the use of analytics tools and methodologies.

4. Data Infrastructure & Governance

○ Collaborate closely with Data Engineering to ensure the data warehouse and data pipelines are efficient, scalable, and reliable.

○ Advocate for and implement best practices in data quality, security, and governance.

5. Cross-Functional Collaboration

○ Work with Finance to provide accurate usage data for billing and revenue operations.

○ Support Customer Success with ad-hoc analysis requests and custom reporting for key clients.

○ Partner with Product and Engineering teams to refine data collection and improve product analytics capabilities.

6. Stakeholder Communication

○ Present analyses, findings, and recommendations to leadership in both technical and non-technical terms.

○ Serve as the subject matter expert on analytics tools, methods, and data interpretation for internal stakeholders.

Required Qualifications

● Education:

○ Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related).

● Experience:

○ 5+ years of experience in data analytics and business intelligence

○ 1+ years of experience in a leadership or mentoring capacity (formal or informal).

○ Hands-on experience building dashboards and writing complex SQL queries.

● Technical Skills:

○ Proficiency with BI tools (e.g., Metabase, Power BI, Tableau, Looker) for data visualization and dashboard development.

○ Strong SQL skills and familiarity with data warehousing concepts.

○ Understanding of data modeling, ETL/ELT pipelines, and cloud-based data platforms (e.g., Redshift, Snowflake, BigQuery).

○ Nice-to-have: Experience with Python/R for advanced analytics or machine learning.

● Soft Skills:

○ Excellent communication and presentation skills; able to translate complex data findings into clear insights for varied audiences.

○ Strong leadership qualities, with a proven ability to mentor junior team members.

○ Organizational and project management skills to handle multiple initiatives in a fast-paced environment.

Interested candidates can send their resumes on td@rwindia.co